glass2claw: From Your Eyes to Your Database — Instantly
🛠️ Installation
1. Ask OpenClaw (Recommended)
Tell OpenClaw:
"Install the glass2claw skill." The agent will handle the installation and configuration automatically.
2. Manual Installation (CLI)
If you prefer the terminal, run:
CODEBLOCK0
You're wearing your Meta Ray-Ban glasses. You see a wine label, a business card, a tea tin. You say:
"Hey Meta, take a picture and send this to myself on WhatsApp."
That's it. OpenClaw does the rest.
The photo lands in your WhatsApp. OpenClaw's Vision Router picks it up, classifies what it is, and writes a structured entry into the right database — wine cellar, contacts, tea collection, whatever you've set up.
No typing. No app switching. No friction.
📸 How It Works
CODEBLOCK1
Your only action is the voice command. Everything downstream is automatic.
🔧 What You Need to Set Up
This skill is a routing protocol — it defines the pattern, not the specific implementation. You bring your own:
- - Meta AI + WhatsApp connection — enable Meta AI on your Ray-Ban glasses and link it to WhatsApp (one-time setup in the Meta View app)
- OpenClaw with WhatsApp channel — your OpenClaw instance needs a WhatsApp session to receive the incoming images
- Destination databases — connect whichever databases you want: Notion, Airtable, a local file, a Discord channel. The skill routes to wherever you configure it
- Database credentials — set up API access for your chosen database yourself (Notion API key, Airtable token, etc.)
The skill templates in this package show one reference implementation using Notion + Discord. Adapt them to your own stack.
🔒 Privacy
This skill processes photos from your personal camera. Images flow from WhatsApp → your OpenClaw instance → your configured destination. Any external services you connect (Notion, Discord, etc.) are governed by their own privacy policies. All routing logic runs on your own OpenClaw instance.
📦 What's Included
- -
SAMPLE_AGENT.md — reference routing logic for the hub agent - INLINECODE1 — reference persona for a wine specialist agent
Use these as starting points. Customize for your own categories and destinations.
Created by JonathanJing | AI Reliability Architectglass2claw：从你的眼睛到你的数据库——即刻完成
🛠️ 安装
1. 询问OpenClaw（推荐）
告诉OpenClaw：
安装glass2claw技能。 代理将自动处理安装和配置。
2. 手动安装（命令行）
如果你更喜欢终端，运行：
bash
clawhub install glass2claw
你戴着你的 Meta Ray-Ban眼镜。你看到一张酒标、一张名片、一个茶叶罐。你说：
嘿Meta，拍张照片并通过WhatsApp发给我自己。
就这样。剩下的交给OpenClaw。
照片会发送到你的WhatsApp。OpenClaw的视觉路由器会接收它，分类识别内容，并将结构化条目写入相应的数据库——酒窖、联系人、茶叶收藏，无论你设置的是什么。
无需打字。无需切换应用。零摩擦。
📸 工作原理
Meta Ray-Ban眼镜
→ 嘿Meta，拍张照片并通过WhatsApp发给我自己
→ Meta AI将照片发送到你的WhatsApp
→ OpenClaw（WhatsApp会话）接收图像
→ 分类意图：葡萄酒 | 茶叶 | 联系人 | 雪茄 | ...
→ 路由到匹配的专业代理
→ 将结构化条目写入你的数据库
你唯一的操作就是语音指令。下游的一切都是自动完成的。
🔧 你需要设置的内容
这个技能是一个路由协议——它定义了模式，而非具体实现。你需要自行准备：
- - Meta AI + WhatsApp连接——在你的Ray-Ban眼镜上启用Meta AI并链接到WhatsApp（在Meta View应用中一次性设置）
- 带WhatsApp通道的OpenClaw——你的OpenClaw实例需要一个WhatsApp会话来接收传入的图像
- 目标数据库——连接你想要的任何数据库：Notion、Airtable、本地文件、Discord频道。该技能会路由到你配置的任何位置
- 数据库凭证——自行设置所选数据库的API访问权限（Notion API密钥、Airtable令牌等）
本包中的技能模板提供了一个使用Notion + Discord的参考实现。请根据你自己的技术栈进行调整。
🔒 隐私
该技能处理来自你个人相机的照片。图像从WhatsApp → 你的OpenClaw实例 → 你配置的目标。你连接的任何外部服务（Notion、Discord等）均受其自身隐私政策的约束。所有路由逻辑都在你自己的OpenClaw实例上运行。
📦 包含内容
- - SAMPLEAGENT.md——中枢代理的参考路由逻辑
- SAMPLESOUL_WINE.md——葡萄酒专业代理的参考角色设定
将这些作为起点。根据你自己的类别和目标进行自定义。
由JonathanJing创建 | AI可靠性架构师
